Data Quality for Decision Makers A dialog between a board member and a DQ expert / by Guilherme Morbey.

Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce...

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Bibliographic Details
Main Author: Morbey, Guilherme (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2013.
Edition:2nd ed. 2013.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a Data quality in general -- Organisational and technical requirements -- Stumbling blocks.- Factors for Success. 
520 |a Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce these statements best. Guilherme Morbey explains the introduction of such a system in the form of a dialogue.   Content ·         Data quality in general ·         Organisational and technical requirements ·         Stumbling blocks ·         Factors for Success     Target groups ·         Faculty members and students in business administration focussing on corporate governance and business computer science ·         Managers and upcoming professionals in business   The Author Guilherme Morbey, owner of Morbey Consulting, is primarily engaged in financial services. One of his main topics is the introduction of data quality management systems.  . 
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